Resource Management in Vehicular Cloud Computing

Author(s):  
Sawsan Elfatih Ibrahim ◽  
Rashid A. Abd Elhaleem Saeed ◽  
Amitava Mukherjee

Vehicular ad hoc networks are relied upon to essentially enhance movement security and transportation productivity. Accessible correspondence, stockpiling, and calculation assets of the associated vehicles are not well used to meet the administration necessities of canny transportation frameworks. Vehicular cloud computing (VCC) is a promising methodology that makes utilization of the preferences of distributed computing and applies them to vehicular systems. Vehicles have turned out to be prepared with different sensors and assets, making them competent to convey, to share assets, and to carry on helpfully. VC can be depicted from the point of view of uses and administrations offered by vehicles that have a place with a vehicular ad hoc network (VANET) due to the impediment of calculation, stockpiling, and data transfer capacity assets for complex in-vehicle sight and sound amusement applications.

Author(s):  
Sawsan Elfatih Ibrahim ◽  
Rashid A. Abd Elhaleem Saeed ◽  
Amitava Mukherjee

Vehicular ad hoc networks are relied upon to essentially enhance movement security and transportation productivity. Accessible correspondence, stockpiling, and calculation assets of the associated vehicles are not well used to meet the administration necessities of canny transportation frameworks. Vehicular cloud computing (VCC) is a promising methodology that makes utilization of the preferences of distributed computing and applies them to vehicular systems. Vehicles have turned out to be prepared with different sensors and assets, making them competent to convey, to share assets, and to carry on helpfully. VC can be depicted from the point of view of uses and administrations offered by vehicles that have a place with a vehicular ad hoc network (VANET) due to the impediment of calculation, stockpiling, and data transfer capacity assets for complex in-vehicle sight and sound amusement applications.


Author(s):  
Kayhan Zrar Ghafoor ◽  
Marwan Aziz Mohammed ◽  
Kamalrulnizam Abu Bakar ◽  
Ali Safa Sadiq ◽  
Jaime Lloret

Recently, Vehicular Ad Hoc Networks (VANET) have attracted the attention of research communities, leading car manufacturers, and governments due to their potential applications and specific characteristics. Their research outcome was started with awareness between vehicles for collision avoidance and Internet access and then expanded to vehicular multimedia communications. Moreover, vehicles’ high computation, communication, and storage resources set a ground for vehicular networks to deploy these applications in the near future. Nevertheless, on-board resources in vehicles are mostly underutilized. Vehicular Cloud Computing (VCC) is developed to utilize the VANET resources efficiently and provide subscribers safe infotainment services. In this chapter, the authors perform a survey of state-of-the-art vehicular cloud computing as well as the existing techniques that utilize cloud computing for performance improvements in VANET. The authors then classify the VCC based on the applications, service types, and vehicular cloud organization. They present the detail for each VCC application and formation. Lastly, the authors discuss the open issues and research directions related to VANET cloud computing.


2015 ◽  
pp. 1049-1061 ◽  
Author(s):  
Kayhan Zrar Ghafoor ◽  
Marwan Aziz Mohammed ◽  
Kamalrulnizam Abu Bakar ◽  
Ali Safa Sadiq ◽  
Jaime Lloret

Recently, Vehicular Ad Hoc Networks (VANET) have attracted the attention of research communities, leading car manufacturers, and governments due to their potential applications and specific characteristics. Their research outcome was started with awareness between vehicles for collision avoidance and Internet access and then expanded to vehicular multimedia communications. Moreover, vehicles' high computation, communication, and storage resources set a ground for vehicular networks to deploy these applications in the near future. Nevertheless, on-board resources in vehicles are mostly underutilized. Vehicular Cloud Computing (VCC) is developed to utilize the VANET resources efficiently and provide subscribers safe infotainment services. In this chapter, the authors perform a survey of state-of-the-art vehicular cloud computing as well as the existing techniques that utilize cloud computing for performance improvements in VANET. The authors then classify the VCC based on the applications, service types, and vehicular cloud organization. They present the detail for each VCC application and formation. Lastly, the authors discuss the open issues and research directions related to VANET cloud computing.


Author(s):  
T. Kavitha

Cloud computing provides a way to avail hardware and software to provide services over the networks to users, whereas in mobile cloud computing, mobile devices are a part of cloud users and service providers. Vehicular ad hoc networks (VANETs) are developed with the help of mobile ad hoc networks (MANET) with the difference that the data are exchanged among mobile vehicles to enhance the road safety and traffic efficiency. VANETs safety applications includes traffic signal violation, curve speed warning, emergency brake lights, pre-crash sensing, collision warning, left turn assist, lane change warning, and stop sign assist. But due to the requirement of smaller size, one of the significant challenges of the vehicular network is the limited resource with respect to memory, computation power, and bandwidth. It leads to slow data processing capability. However, the demanding requirement of emerging application is complex computation with high storage capacity. This necessity can be fulfilled by sharing the available resource among all the vehicles which are in near proximity. It can be achieved by integrating the vehicular network with cloud computing which is called as vehicular cloud computing (VCC). VCC is a new technological shift that can take the advantages of cloud computing to afford the services to drivers of VANET. But VCC is still in early stage and due to its unique features and applications it has become a significant emerging research area which needs to be explored further.


2019 ◽  
pp. 592-620
Author(s):  
Poonam Saini ◽  
Awadhesh Kumar Singh

Resource sharing is the most attractive feature of distributed computing. Information is also a kind of resource. The portable computing devices and wireless networks are playing a dominant role in enhancing the information sharing and thus in the advent of many new variants of distributed computing viz. ubiquitous, grid, cloud, pervasive and mobile. However, the open and distributed nature of Mobile Ad Hoc Networks (MANETs), Vehicular Ad Hoc Networks (VANETs) and cloud computing systems, pose a threat to information that may be coupled from one user (or program) to another. The chapter illustrates the general characteristics of ad hoc networks and computing models that make obligatory to design secure protocols in such environments. Further, we present a generic classification of various threats and attacks. In the end, we describe the security in MANETs, VANETs and cloud computing. The chapter concludes with a description of tools that are popularly used to analyze and access the performance of various security protocols.


Vehicular cloud computing is a perpetual developing paradigm where the automobiles communicate with each other by retrieving the data, processing it, and sharing it among them even in remote locations through the cloud computing network. This is a developing research platform with innumerable applications both direct and indirect. In other words, it’s the way in which not indifferent automobile vehicles interact with one other. There are a lot of applications for vehicular cloud computing in the automobile industry in assisting with people’s day-to-day life it includes both direct and indirect applications. This platform has proved its way to aid in multiple fields with innovation and update. Cyber-physical vehicle systems are a fraction of vehicular cloud computing network with budding applications. These computer-based algorithms will eventfully aggregate with the automobiles and facilitate them to correlate and communicate with one other. The existing schemes include vehicular cloud computing in conjunction with Ad Hoc Networks where it has improved its efficiency and faced many technical challenges. There also was the implication of sensor technology where sensor incorporated automobiles interact with the network to assist automation. The proposed system involves controlling vehicles efficiently using VCC in cyber-physical systems. It is an advanced vehicle management system with individual connected and an automated vehicle that communicates with one another via cloud computing. The simulated results showed much higher efficiency, management accuracy, communication speed, and information sharing levels between the vehicles


Author(s):  
Poonam Saini ◽  
Awadhesh Kumar Singh

Resource sharing is the most attractive feature of distributed computing. Information is also a kind of resource. The portable computing devices and wireless networks are playing a dominant role in enhancing the information sharing and thus in the advent of many new variants of distributed computing viz. ubiquitous, grid, cloud, pervasive and mobile. However, the open and distributed nature of Mobile Ad Hoc Networks (MANETs), Vehicular Ad Hoc Networks (VANETs) and cloud computing systems, pose a threat to information that may be coupled from one user (or program) to another. The chapter illustrates the general characteristics of ad hoc networks and computing models that make obligatory to design secure protocols in such environments. Further, we present a generic classification of various threats and attacks. In the end, we describe the security in MANETs, VANETs and cloud computing. The chapter concludes with a description of tools that are popularly used to analyze and access the performance of various security protocols.


Author(s):  
Zeinab E. Ahmed ◽  
Rashid A. Saeed ◽  
Amitava Mukherjee

Vehicular ad-hoc networks (VANET) have become an important research area due to their ability to allow sharing resources among the users to carry out their application and provide services of transport and traffic management. VANET communication allows exchange of sensitive information among nearby vehicles such as condition of weather and road accidents in order to improve vehicle traffic efficiency through Intelligent Transportation Systems (ITS). Many technologies have been developed to enhance ITS. Recently, vehicular cloud computing (VCC) has been developed in order to overcome the drawbacks VANET. VCC technology provides low-cost services to vehicles and capable of managing road traffic efficiently by using the vehicular sources (such as internet) to make decisions and for storage. VCC is considered as the basis for improving and developing intelligent transportation systems. It plays a major role in people's lives due to its safety, security, trust, and comfort to passengers and drivers. This chapter investigates the vehicular cloud computing. The authors first concentrate on architectures. Then, they highlight applications and features provided by VCC. Additionally, they explain the challenges for VCC. Finally, the authors present opportunities and future for VCC.


2019 ◽  
pp. 2168-2185 ◽  
Author(s):  
Zeinab E. Ahmed ◽  
Rashid A. Saeed ◽  
Amitava Mukherjee

Vehicular ad-hoc networks (VANET) have become an important research area due to their ability to allow sharing resources among the users to carry out their application and provide services of transport and traffic management. VANET communication allows exchange of sensitive information among nearby vehicles such as condition of weather and road accidents in order to improve vehicle traffic efficiency through Intelligent Transportation Systems (ITS). Many technologies have been developed to enhance ITS. Recently, vehicular cloud computing (VCC) has been developed in order to overcome the drawbacks VANET. VCC technology provides low-cost services to vehicles and capable of managing road traffic efficiently by using the vehicular sources (such as internet) to make decisions and for storage. VCC is considered as the basis for improving and developing intelligent transportation systems. It plays a major role in people's lives due to its safety, security, trust, and comfort to passengers and drivers. This chapter investigates the vehicular cloud computing. The authors first concentrate on architectures. Then, they highlight applications and features provided by VCC. Additionally, they explain the challenges for VCC. Finally, the authors present opportunities and future for VCC.


2021 ◽  
pp. 1-12
Author(s):  
Ermioni Qafzezi ◽  
Kevin Bylykbashi ◽  
Phudit Ampririt ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
...  

Vehicular Ad hoc Networks (VANETs) aim to improve the efficiency and safety of transportation systems by enabling communication between vehicles and roadside units, without relying on a central infrastructure. However, since there is a tremendous amount of data and significant number of resources to be dealt with, data and resource management become their major issues. Cloud, Fog and Edge computing, together with Software Defined Networking (SDN) are anticipated to provide flexibility, scalability and intelligence in VANETs while leveraging distributed processing environment. In this paper, we consider this architecture and implement and compare two Fuzzy-based Systems for Assessment of Neighboring Vehicles Processing Capability (FS-ANVPC1 and FS-ANVPC2) to determine the processing capability of neighboring vehicles in Software Defined Vehicular Ad hoc Networks (SDN-VANETs). The computational, networking and storage resources of vehicles comprise the Edge Computing resources in a layered Cloud-Fog-Edge architecture. A vehicle which needs additional resources to complete certain tasks and process various data can use the resources of the neighboring vehicles if the requirements to realize such operations are fulfilled. The proposed systems are used to assess the processing capability of each neighboring vehicle and based on the final value, it can be determined whether the edge layer can be used by the vehicles in need. FS-ANVPC1 takes into consideration the available resources of the neighboring vehicles and the predicted contact duration between them and the present vehicle, while FS-ANVPC2 includes in addition the vehicles trustworthiness value. Our systems take also into account the neighboring vehicles’ willingness to share their resources and determine the processing capability for each neighbor. We evaluate the proposed systems by computer simulations. The evaluation results show that FS-ANVPC1 decides that helpful neighboring vehicles are the ones that are predicted to be within the vehicle communication range for a while and have medium/large amount of available resources. FS-ANVPC2 considers the same neighboring vehicles as helpful neighbors only if they have at least a moderate trustworthiness value ( VT = 0.5). When VT is higher, FS-ANVPC2 takes into consideration also neighbors with less available resources.


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